Systems and methods to order cosmetic products in a skincare routine to maximize product efficacy

Abstract

This paper describes the methods and systems for placing products in a routine to maximize product effectiveness. Consumers' product profiles are created by collecting personal user information, concerns, and product information in their routine. A product efficacy system categorizes the products and sorts them in the proper order based on cosmetic ingredients.

What is claimed is: 
     
         1 . A system for generating a cosmetic product routine suited to a user's preferences and attributes, the system comprising:
 a. a product database comprising a plurality of cosmetic products;
 wherein each cosmetic product comprises one or more product attributes, a primary function, and one or more ingredients; 
   b. a user attribute database comprising one or more user preferences and one or more user attributes;
 wherein the one or more user preferences are weighted and ranked based on importance to the user; and 
   c. a product efficacy component communicatively coupled to the product database and the user attribute database, comprising a processor capable of executing computer-readable instructions and a memory component comprising a plurality of computer-readable instructions for:
 i. weighting, for each cosmetic product of the product database, an efficacy based on one or more functions; 
 ii. generating a template routine comprising a plurality of steps each having a function, ordered such that an efficacy of each function is maximized; 
 iii. determining, from the product database, through a machine learning algorithm, a plurality of suitable products for the user based on the one or more product attributes of each cosmetic product, the one or more user preferences and the one or more user attributes; 
 iv. filling the template routine with one or more selected cosmetic products from the plurality of suitable products;
 wherein at least one cosmetic product is selected for each step; 
 wherein the one or more selected cosmetic products are selected based on the weighted efficacy and the primary function; and 
 
 v. displaying the cosmetic product routine to the user. 
   
     
     
         2 . The system of  claim 1 , wherein the machine learning algorithm is trained by expert informed data, hypothetical examples, and user reviews. 
     
     
         3 . The system of  claim 1 , wherein the one or more product attributes comprise claimed value, category, ingredients, ingredient percentage, price, size, solubility, chemical properties, and brand. 
     
     
         4 . The system of  claim 1 , wherein the one or more user preferences comprise cleanliness of a product, if a product is organic, if a product is vegan, sustainability, price, and rating. 
     
     
         5 . The system of  claim 1 , wherein the one or more user attributes comprise age, sex, skin characteristics, goals, concerns, location, environment, and season. 
     
     
         6 . The system of  claim 1 , wherein the primary feature of each cosmetic product is selected from a group comprising toner, moisturizer, exfoliant, cleanser, colorizer, and active. 
     
     
         7 . The system of  claim 1 , wherein the memory component further comprises computer-readable instructions for:
 a. accepting a partial cosmetic product routine from the user;   b. identifying one or more missing steps in the partial cosmetic product routine; and   c. filling the one or more missing steps with one or more cosmetic products from the plurality of suitable products wherein at least one cosmetic product is selected for each step;
 wherein the one or more selected cosmetic products are selected based on the weighted efficacy and the primary function. 
   
     
     
         8 . The system of  claim 1 , wherein the user attribute database is filled by the user through a third party, a computing device, or a survey. 
     
     
         9 . The system of  claim 3 , wherein each cosmetic product is weighted based on an efficacy of the claimed value. 
     
     
         10 . The system of  claim 1 , wherein the product database comprises products from only one brand. 
     
     
         11 . A method for generating a cosmetic product routine suited to a user's preferences and attributes comprising:
 a. accepting, from the user, one or more user preferences and one or more user attributes;
 wherein the one or more user preferences are weighted and ranked based on importance to the user; 
   b. providing a product database comprising a plurality of cosmetic products;
 wherein each cosmetic product comprises one or more product attributes, a primary function, and one or more ingredients; 
   c. weighting, for each cosmetic product of the product database, an efficacy based on the one or more functions;   d. generating a template routine comprising a plurality of steps each having a function, ordered such that an efficacy of each function is maximized;   e. determining, from the product database, through a machine learning algorithm, a plurality of suitable products for the user based on the one or more product attributes of each cosmetic product, the one or more user preferences and the one or more user attributes;   f. filling the template routine with one or more selected cosmetic products from the plurality of suitable products;
 wherein at least one cosmetic product is selected for each step; 
 wherein the one or more selected cosmetic products are selected based on the weighted efficacy and the primary function; and 
   g. displaying the cosmetic product routine to the user.   
     
     
         12 . The method of  claim 11 , wherein the machine learning algorithm is trained by expert informed data, hypothetical examples, and user reviews. 
     
     
         13 . The method of  claim 11 , wherein the one or more product attributes comprise claimed value, category, ingredients, ingredient percentage, price, size, solubility, chemical properties, and brand. 
     
     
         14 . The method of  claim 11 , wherein the one or more user preferences comprise cleanliness of a product, if a product is organic, if a product is vegan, sustainability, price, and rating. 
     
     
         15 . The method of  claim 11 , wherein the one or more user attributes comprise age, sex, skin characteristics, goals, concerns, location, environment, and season. 
     
     
         16 . The method of  claim 11 , wherein the primary feature of each cosmetic product is selected from a group comprising toner, moisturizer, exfoliant, cleanser, colorizer, and active. 
     
     
         17 . The method of  claim 11  further comprising:
 a. accepting a partial cosmetic product routine from the user; 
 b. identifying one or more missing steps in the partial cosmetic product routine; and 
 c. filling the one or more missing steps with one or more cosmetic products from the plurality of suitable products wherein at least one cosmetic product is selected for each step;
 wherein the one or more selected cosmetic products are selected based on the weighted efficacy and the primary function. 
 
 
     
     
         18 . The method of  claim 11 , wherein the one or more user preferences and the one or more user attributes are retrieved from the user through a third party, a computing device, or a survey. 
     
     
         19 . The method of  claim 13 , wherein each cosmetic product is weighted based on an efficacy of the claimed value. 
     
     
         20 . The method of  claim 11 , wherein the product database comprises products from only one brand.